SUMMARY:
We are seeking a talented Senior Data Scientist with expertise in Generative AI to join our team. This role will report to the Director, Artificial Intelligence and based out of PRGX’s Atlanta office. In this role, you will be responsible for designing, developing, and implementing cutting-edge generative models, driving innovation, and providing technical leadership to a team of data scientists. You will work closely with cross-functional teams, including engineers, product managers, and researchers, to identify opportunities, design solutions, and deliver high-impact projects that leverage Generative AI technologies.
JOB DUTIES & RESPONSIBILITIES:
Design, develop, and deploy generative AI models for various applications with a focus on text generation and sematic entity extraction.
Collaborate with stakeholders to identify business needs, define project scopes, and establish data-driven solutions.
Mentor junior data scientists/interns, providing guidance on best practices and industry standards.
Stay up to date with the latest research and advancements in Generative AI and related fields.
Collaborate with other teams, such as engineering and product management, to integrate models into production environments.
Establish and maintain documentation for models, algorithms, and processes.
Ensure all projects meet quality, performance, and security standards.
Communicate complex concepts and findings effectively to both technical and non-technical audiences.
WORK EXPERIENCE AND EDUCATION REQUIREMENTS:
Master's degree in Computer Science, Statistics, Mathematics, or a related field required.
Ph.D preferred.
Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
Strong background in machine learning, deep learning, and probabilistic modeling.
Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
Experience designing and implementing large-scale data pipelines and processing systems.
Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
Strong programming skills in Python and experience working with version control systems (Git).
Excellent communication and teamwork skills.
Experience mentoring junior colleagues and interns.
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